Detection Engineer - AI/ML
Tasks
- Build and maintain detection pipelines
- Design train and deploy threat detection ML models
- Embed countermeasures for adversarial AI threats
- Engineer features and curate training data
- Monitor and mitigate model drift and bias
- Translate model outputs into explainable detection logic
- Version models monitor performance and evaluate metrics
Perks/Benefits
- Career Development Programs
- Digital learning programs
- Employee discounts
- Employee shares program
- Flexible working
- Healthcare
- Hybrid work
- Parental leave benefits
- Pension
- Work from abroad
Skills/Tech-stack
Adversarial Machine Learning | Class imbalance | CrowdStrike Falcon | Evasion | False Positive | False Positive Rate | Feature Engineering | Google Chronicle | Google SecOps | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Model poisoning | Model versioning | Precisión | Prompt injection | PyTorch | Python | Recall | Retraining | Scikit-learn | TensorFlow | Vertex AI | XGBoost
Education
N/A
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